M. Sullivan
- Nuclear and High Energy Physics top 10%
- Astronomy and Astrophysics top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Ian LewisS. DawsonSamuel HomillerHooman DavoudiaslDuarte FontesSamuel D. LaneGopolang MohlabengJeong Han Kim
- Topics
- Particle physics theoretical and experimental studies (10 papers)Particle Detector Development and Performance (4 papers)High-Energy Particle Collisions Research (3 papers)
- Journals
- Physical review. DPhysical review. AarXiv (Cornell University)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
M. Sullivan
15 papers receiving 226 citations
Peers
Comparison fields: 5 of 14
- Nuclear and High Energy Physics 216
- Astronomy and Astrophysics 72
- Artificial Intelligence 13
- Electrical and Electronic Engineering 11
- Computational Theory and Mathematics 6
Countries citing papers authored by M. Sullivan
This map shows the geographic impact of M. Sullivan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sullivan more than expected).
Fields of papers citing papers by M. Sullivan
This network shows the impact of papers produced by M. Sullivan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Sullivan. The network helps show where M. Sullivan may publish in the future.
Co-authorship network of co-authors of M. Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sullivan. A scholar is included among the top collaborators of M. Sullivan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Sullivan. M. Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 34 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 21 | |
| 13 | Benchmarks for the Singlet Extended Standard Model at the LHC | 2 |
| 14 | 47 | |
| 15 | Advances in the design of the SuperB final doublet | 2 |
| 16 | 2 |
About M. Sullivan
M. Sullivan is a scholar working on Nuclear and High Energy Physics, Radiological and Ultrasound Technology and Statistics, Probability and Uncertainty, having authored 16 papers that have together received 229 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (4 papers) and High-Energy Particle Collisions Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (216 citations), Astronomy and Astrophysics (72 citations) and Artificial Intelligence (13 citations). M. Sullivan has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Ian Lewis, S. Dawson, Samuel Homiller, Hooman Davoudiasl, Duarte Fontes, Samuel D. Lane, Gopolang Mohlabeng, Jeong Han Kim, Hye‐Sung Lee and F. Pilo. Their work appears in journals such as Physical review. D, Physical review. A and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.